##
## Call:
## lm(formula = log(death_rate) ~ sex * poly(years_since_first,
## 2), data = .)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.62939 -0.25635 -0.03894 0.22798 1.37746
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) -3.605e+00 5.587e-03 -645.155
## sexmale 2.278e-01 7.901e-03 28.827
## poly(years_since_first, 2)1 -1.127e+02 5.207e-01 -216.458
## poly(years_since_first, 2)2 -3.907e+01 5.207e-01 -75.039
## sexmale:poly(years_since_first, 2)1 1.769e+00 7.363e-01 2.402
## sexmale:poly(years_since_first, 2)2 -1.385e+00 7.363e-01 -1.881
## Pr(>|t|)
## (Intercept) <2e-16 ***
## sexmale <2e-16 ***
## poly(years_since_first, 2)1 <2e-16 ***
## poly(years_since_first, 2)2 <2e-16 ***
## sexmale:poly(years_since_first, 2)1 0.0163 *
## sexmale:poly(years_since_first, 2)2 0.0600 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3682 on 8678 degrees of freedom
## Multiple R-squared: 0.9235, Adjusted R-squared: 0.9234
## F-statistic: 2.095e+04 on 5 and 8678 DF, p-value: < 2.2e-16